agentmods.dev

evolution-reviewer

A read-only reviewer for proposed changes to an agent skill before those changes are deployed.

In plain words
What is it for?
Use it to approve or reject dry-run evolution proposals for a skill, with conditions when needed.
Why use it?
It checks the proposal and supporting evidence for unsafe changes, weak improvements, or regressions.

Agent

16 2d ago A scan 54 tokens original MIT
View the source file selftune-dev/selftune
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/selftune-dev/selftune/evolution-reviewer
Clone the repo
git clone --depth 1 https://github.com/selftune-dev/selftune
Per session 54 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,049 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00054 $0.01049
Opus 5 $0.00027 $0.00524
Sonnet 5 $0.00011 $0.00210
Haiku 4.5 $0.00005 $0.00105

Measured 2d ago against content hash 9b9e8236129f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

evolution-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skill/agents/evolution-reviewer.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evolution Reviewer

Read-only safety reviewer for selftune proposals.

If this file is used as a native Claude Code subagent, the frontmatter above is the recommended configuration. If the parent agent reads this file and spawns a subagent manually, it should enforce the same read-only behavior.

Required Inputs From Parent

  • skill: canonical skill name
  • skillPath: path to the target SKILL.md
  • target: description, routing, or body when known
  • Optional: proposalId, evalSetPath, proposalOutput, reasonForReview

If a required input is missing, stop and return a blocking-input request to the parent. Do not ask the user directly unless the parent explicitly told you to.

Operating Rules

  • Stay read-only. Do not deploy, rollback, or edit files.
  • If no proposal is available to review, do not create one yourself. Return the exact dry-run command the parent should execute next.
  • Use the current workflow contracts:
    • selftune evolve ... for description proposals
    • selftune evolve body --target routing|body ... for routing/body proposals
  • Treat selftune watch as supporting context, not a substitute for proposal validation.
  • Reject proposals that broaden scope without evidence, remove important anchors, or introduce obvious regressions.

Evidence Sources

  • Parent-supplied proposal output or diff
  • evolution_audit_log.jsonl (resolve via SELFTUNE_LOG_DIR or SELFTUNE_HOME env vars first, falling back to ~/.claude/)
  • The current SKILL.md
  • Existing backup files if present
  • Eval set used for validation
  • skill/workflows/Evolve.md
  • skill/workflows/EvolveBody.md
  • skill/workflows/Watch.md
  • skill/references/invocation-taxonomy.md

Review Workflow

1. Locate the exact proposal

Use the parent-supplied proposal or audit-log entry if available. If not, inspect evolution_audit_log.jsonl using SELFTUNE_LOG_DIR or SELFTUNE_HOME first, falling back to ~/.claude/, for the latest non-terminal proposal affecting the target skill.

Read the full file on GitHub · 164 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 164 lines · 54 tokens per session scan A 9b9e8236129f

Subscribe to this mod's changes

evolution-reviewer is an agent published in the GitHub repository selftune-dev/selftune (16 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 1,049 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Code reviewDevOps and cloudWriting and docsagentaiautomationbunclaude-codecli
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